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Process Mining of Periodic Rating Scale Survey Data Using Analytic Hierarchy Process

  • Dalia Kriksciuniene
  • Virgilijus SakalauskasEmail author
  • Roman Lewandowski
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 339)

Abstract

The main purpose of our research is to propose original algorithm to evaluate the dynamic behavior of processes from the survey data collected with the help of periodically repeated surveys based on Likert scale questions. This approach supposes the usage of AHP (Analytic Hierarchy Process) for assessment the factors influencing the process behavior. Our idea is to use the aggregated periodic rating scale data as alternatives inputs for AHP evaluation. The practical usefulness of proposed process quality evaluation technique was proved by examining particular Polish rehabilitation hospital service quality changes over time frame from 2008 to 2017.

Keywords

Process mining Healthcare system AHP (Analytic Hierarchy Process) Likert scale 

Notes

Acknowledgement

This work was performed within the framework of the COST action “European Network for cost containment and improved quality of health care” http://www.cost.eu/COST_Actions/ca/CA15222, and was also supported by funding from National Science Centre, Poland (grant number: 2015/17/B/HS4/02747).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Dalia Kriksciuniene
    • 1
  • Virgilijus Sakalauskas
    • 1
    Email author
  • Roman Lewandowski
    • 2
  1. 1.Institute of Applied InformaticsVilnius UniversityVilniusLithuania
  2. 2.Management FacultyUniversity of Social SciencesLodzPoland

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